SAS® Event Stream Processing

Analyze streaming data, and take appropriate action instantly

Seize opportunities and spot red flags hidden in the massive torrent of fast-moving data that flows through your business. With SAS Event Stream Processing, you can analyze high-velocity big data while it’s still in motion – before it is stored – so you can take immediate action on what's relevant, and ignore what isn't.

Benefits

Get insight for taking the right action.

Streaming data from operations, transactions, sensors and IoT devices is valuable – when it's well-understood. Regardless of data type or source, event stream processing from SAS includes streaming data quality and analytics – and a vast array of prebuilt mechanisms for connecting, deciphering, cleansing and understanding streaming data – in one solution.

Make sound big data decisions.

Filter, normalize, categorize, aggregate, standardize and cleanse big data before you store it – saving significant staff and computing resources from having to unpollute data lakes. Prebuilt data quality routines and text processing execution are applied to data in motion, so big data is filtered and ready for consumption.

Take control and adapt to changing events quickly.

No matter how fast your data moves, how much data you have, or how many data sources you’re pulling from, it’s all under your control via a single, intuitive interface. You can define patterns and address scenarios from all aspects of your business, giving you the power to stay agile and tackle issues as they arise.

Demos & Screenshots

SAS Event Stream Processing 4.2 Software Demo

Real-Time Text Analytics Demo

Integrated Environment

Visual Event Stream Testing

Event Stream Monitoring

Features

Built for speed. Outperforms other stream processing engines because it's engineered for high-volume processing of millions of events per second and low-latency response times.

Ability to ingest and consolidate streaming sources. Includes an extensive suite of prebuilt connectors and adapters, ensuring that you consume the sources you need today – including both structured and unstructured data streams – with the ability to extend in the future.

Complete multiphase analytics. Lets you embed the power of SAS at the edge, in the fog and in data at rest – cleansing and analyzing data at each streaming event phase. In-depth SAS analytical models are portable to the stream and the edge, enabling ongoing learning and continuous innovation to keep your business current and responsive to changing conditions.

Technical Information

SAS was named an IoT Excellence Award winner at Connexion 2014, Axeda's annual conference (now PTC), in recognition of our skills and expertise in developing innovative solutions for the Internet of Things.